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Hybrid metaheuristic techniques for optimising sugarcane rail operations

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  • Mahmoud Masoud
  • Erhan Kozan
  • Geoff Kent

Abstract

Mixed integer programming and parallel-machine job shop scheduling are used to solve the sugarcane rail transport scheduling problem. Constructive heuristics and metaheuristics were developed to produce a more efficient scheduling system and so reduce operating costs. The solutions were tested on small and large size problems. High-quality solutions and improved CPU time are the result of developing new hybrid techniques which consist of different ways of integrating simulated annealing and Tabu search techniques.

Suggested Citation

  • Mahmoud Masoud & Erhan Kozan & Geoff Kent, 2015. "Hybrid metaheuristic techniques for optimising sugarcane rail operations," International Journal of Production Research, Taylor & Francis Journals, vol. 53(9), pages 2569-2589, May.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:9:p:2569-2589
    DOI: 10.1080/00207543.2014.957870
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    Cited by:

    1. Chuleeporn Kusoncum & Kanchana Sethanan & Richard F. Hartl & Thitipong Jamrus, 2022. "Modified differential evolution and heuristic algorithms for dump tippler machine allocation in a typical sugar mill in Thailand," Operational Research, Springer, vol. 22(5), pages 5863-5895, November.

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